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Webkul Jobs 2024 Hiring Machine Learning Engineer- Bachelor’s Degree: Apply Today

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Webkul Started Hiring

* Role:Machine Learning-Engineer
* Salary:4.5LPA(Expected)
* Location:Bangalore
* Experience:Freshers
* EducationBE/B-Tech/Bachelor’s Degree
* BatchAny-Batch

Webkul Jobs 2024 Hiring Machine Learning Engineer- Bachelor’s Degree: Apply Today

The detailed eligibility Criteria and application process are mentioned below.

Webkul Jobs 2024 Hiring Machine Learning Engineer

Job Description

Machine Learning

We are seeking a highly skilled and motivated Machine Learning Engineer to join our deploying, and optimizing machine learning models that drive our innovative products and services.

Experience00 – 02 Years
Openings5
CTCBest in the Industry
Interview Process1) Coding Round. 2) Technical F2F Interview. 3) HR Round.
Job LocationNoida-Sec 63
EducationB.TECH-CS/IT/MCA

What you will be doing at Webkul?

  1. Python Proficiency and API Integration:
    • Demonstrate strong proficiency in Python programming language.
    • Design and implement scalable, efficient, and maintainable code for machine learning applications.
    • Integrate machine learning models with APIs to facilitate seamless communication between different software components.
  2. Machine Learning Model Deployment, Training, and Performance:
    • Develop and deploy machine learning models for real-world applications.
    • Conduct model training, optimization, and performance evaluation.
    • Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.
  3. Large Language Model Understanding and Integration:
    • Possess a deep understanding of large language models (LLMs) and their applications.
    • Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.
    • Stay abreast of the latest advancements in large language models and contribute insights to the team.
  4. Langchain and RAG-Based Systems (e.g., LLamaindex):
    • Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.
    • Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.
  5. LLM Integration with Vector Databases (e.g., Pinecone):
    • Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.
    • Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

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